mcp-ms-office-documents
Eliminates manual document creation workflows by programmatically generating Office files, reducing template management overhead and enabling dynamic content…
MCP server providing tools to create Ms Office documents like presentations, emails, spreadsheets and word docs (pptx, docx, eml, xlsx)
- Generate a complete PowerPoint presentation with slides from meeting notes and agenda items.
- Automate creation of formatted Word documents with tables, headers, and consistent styling automatically.
- Create Excel spreadsheets with multiple sheets, formulas, and data organized by category.
Eliminates manual document creation workflows by programmatically generating Office files, reducing template management overhead and enabling dynamic content generation at scale for teams managing high-volume document needs.
Enterprise operations and legal teams automating routine document generation and stakeholder reporting workflows.
https://github.com/ForLegalAI/mcp-ms-office-documents
By ForLegalAI
How to Get It
Runs in Docker: curl -L -o docker-compose.yml https://raw.githubusercontent.com/dvejsada/mcp-ms-office-docs/main/docker-compose.yml — then configure the environment and start it with Docker Compose per the README Quick Start, and connect your MCP client
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Once it’s connected, paste this into Claude:
Help me generate a complete PowerPoint presentation with slides from meeting notes and agenda items
Trust Signals Auto-scanned
Data & Access
Community Pulse Quiet
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 29 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 29 GitHub stars; contributors unknown; last commit 0d ago; license MIT.